corrRancomp: Correction of predicted random components

In qape: Quantile of Absolute Prediction Errors

Correction of predicted random components

Description

The function computes the corrected predicted random components as presented in Chambers and Chandra (2013) in Section 2.2 to avoid the problem of underdispersion of residual bootstrap distributions.

Usage

corrRancomp(model)

Arguments

model

lmer object.

Value

the vector of corrected predicted random components.

Author(s)

Tomasz Zadlo

References

Chambers, R. and Chandra, H. (2013) A Random Effect Block Bootstrap for Clustered Data, Journal of Computational and Graphical Statistics, 22(2), 452-470.

Examples

library(lme4)
data(invData)
attach(invData)
model <- lmer(investments ~ newly_registered + ((1|NUTS2) + 
((newly_registered - 1)|NUTS2) + ((newly_registered)|NUTS4)))
corrRancomp(model)
detach(invData)

qape documentation built on Aug. 21, 2023, 5:07 p.m.